Harte-Hanks

Business and technical managers are having a hard time presenting a viable cost justification for implementing data quality in their organizations. The problem lies in a disconnect between the individuals that actually see data quality problems and decision makers that need to understand the bottom-line impact of data quality in their companies. This white paper from Trillium Software bridges the gap between those data users and data managers, presenting six specific business cases for implementing an enterprise-wide data quality solution.